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Issue title: High-Performance Computing
Guest editors: Achyut Shankar
Article type: Research Article
Authors: Zhang, Pengcheng* | Yu, Hao | Wang, Wei | Su, Tao | Zhu, Min | Jin, Xin | Huang, Ying
Affiliations: State Grid Anhui Information and Telecommunication Company, Hefei, Anhui, China
Correspondence: [*] Corresponding author: Pengcheng Zhang, State Grid Anhui Information and Telecommunication Company, Hefei, 230000, Anhui, China. E-mail: [email protected].
Abstract: With the rapid development of global navigation satellite system (GNSS) technology, IGS signals play a crucial role in many fields such as positioning, navigation, and time synchronization. Nevertheless, the multipath error problem seriously affects the performance of IGS signals in practical applications. In this paper, the multipath error problem of IGS signals is studied in depth, and an improvement method based on a digital filtering technique is proposed. The article first provides a comprehensive analysis of the impact of multipath error and identifies the shortcomings of existing studies, thus clarifying the motivation of this study. Subsequently, this paper uses digital filtering techniques to estimate the multipath error accurately and designs a corresponding improvement strategy. Through experimental verification, this paper demonstrates the significant effect of the improved method in improving signal quality and positioning accuracy. Finally, the article summarises the research results. It discusses their potential promotion value in IGS signal reception and related applications, which provides important theoretical support and practical guidance for future technology development and applications.
Keywords: Digital filtering techniques, IGS signals, multipath error estimation, error improvement
DOI: 10.3233/IDT-240242
Journal: Intelligent Decision Technologies, vol. 18, no. 4, pp. 3405-3421, 2024
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